Chang Min Yoon

1.6k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Chang Min Yoon is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Chang Min Yoon has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Immunology. Recurrent topics in Chang Min Yoon's work include Extracellular vesicles in disease (4 papers), Inflammasome and immune disorders (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Chang Min Yoon is often cited by papers focused on Extracellular vesicles in disease (4 papers), Inflammasome and immune disorders (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Chang Min Yoon collaborates with scholars based in South Korea, United States and Sweden. Chang Min Yoon's co-authors include Yong Song Gho, Yoon‐Keun Kim, Oh Youn Kim, Tae‐Young Roh, Jaesung Park, Dongsic Choi, Jan Lötvall, Jonas A. Nilsson, Su Chul Jang and Bok Sil Hong and has published in prestigious journals such as Journal of Clinical Investigation, Blood and ACS Nano.

In The Last Decade

Chang Min Yoon

13 papers receiving 1.3k citations

Hit Papers

Bioinspired Exosome-Mimetic Nanovesicles for Targeted Del... 2013 2026 2017 2021 2013 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bioinspired Exosome-Mimetic Nanovesicles for Targeted Delivery of Chemotherapeutics to Malignant Tumors
    2013 840 citations Su Chul Jang, Oh Youn Kim et al. ACS Nano profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chang Min Yoon South Korea 11 1.1k 443 249 220 115 14 1.3k
Hojun Choi South Korea 14 1.2k 1.2× 630 1.4× 187 0.8× 170 0.8× 73 0.6× 32 1.5k
Venkatareddy Nadithe United States 8 1.1k 1.0× 536 1.2× 169 0.7× 109 0.5× 110 1.0× 9 1.3k
Staffan Johansson Sweden 23 676 0.6× 273 0.6× 119 0.5× 205 0.9× 96 0.8× 36 1.6k
Hina Kalra Australia 7 1.7k 1.7× 914 2.1× 168 0.7× 255 1.2× 30 0.3× 7 1.9k
Tek N. Lamichhane United States 19 1.8k 1.7× 768 1.7× 138 0.6× 106 0.5× 64 0.6× 21 1.9k
Killian P. O’Brien United States 6 1.5k 1.4× 859 1.9× 161 0.6× 188 0.9× 40 0.3× 9 1.7k
Tingting Ning China 18 725 0.7× 240 0.5× 209 0.8× 183 0.8× 87 0.8× 50 1.2k
Stefano Ughetto Italy 6 1.3k 1.3× 712 1.6× 148 0.6× 184 0.8× 36 0.3× 6 1.5k
Samira Mohammadi‐Yeganeh Iran 25 1.3k 1.3× 1.0k 2.3× 163 0.7× 277 1.3× 65 0.6× 111 1.8k
Zhibao Mi United States 20 1.0k 1.0× 192 0.4× 85 0.3× 469 2.1× 85 0.7× 30 1.8k

Countries citing papers authored by Chang Min Yoon

Since Specialization
Citations

This map shows the geographic impact of Chang Min Yoon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chang Min Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Min Yoon more than expected).

Fields of papers citing papers by Chang Min Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang Min Yoon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chang Min Yoon. The network helps show where Chang Min Yoon may publish in the future.

Co-authorship network of co-authors of Chang Min Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Min Yoon. A scholar is included among the top collaborators of Chang Min Yoon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang Min Yoon. Chang Min Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kim, Sang‐Hun, Chang Min Yoon, Sei Won Lee, et al.. (2021). PINK1 Inhibits Multimeric Aggregation and Signaling of MAVS and MAVS-Dependent Lung Pathology. American Journal of Respiratory Cell and Molecular Biology. 64(5). 592–603. 12 indexed citations
2.
Kim, Sang‐Hun, Chang Min Yoon, Sei Won Lee, et al.. (2020). Mitochondrial antiviral signaling protein is crucial for the development of pulmonary fibrosis. European Respiratory Journal. 57(4). 2000652–2000652. 12 indexed citations
3.
Boffa, Daniel J., Chang-Min Lee, Bo Hye Kim, et al.. (2020). Suppression of NLRX1 in chronic obstructive pulmonary disease. UNC Libraries.
4.
Kang, Min‐Jong, Chang Min Yoon, Dohyun Kim, et al.. (2015). Role of Chitinase 3–Like-1 in Interleukin-18–Induced Pulmonary Type 1, Type 2, and Type 17 Inflammation; Alveolar Destruction; and Airway Fibrosis in the Murine Lung. American Journal of Respiratory Cell and Molecular Biology. 53(6). 863–871. 42 indexed citations
5.
Yoon, Chang Min, et al.. (2015). Mitochondrial Regulation of Inflammasome Activation in Chronic Obstructive Pulmonary Disease. Journal of Innate Immunity. 8(2). 121–128. 15 indexed citations
6.
Kang, Min‐Jong, et al.. (2015). Role of Chitinase 3-like-1 in IL-18-induced pulmonary Type- 1, -2 and -17 inflammation, alveolar destruction and airway fibrosis in the murine lung. 2 indexed citations
7.
Kang, Min‐Jong, Chang Min Yoon, Bo Hye Kim, et al.. (2015). Suppression of NLRX1 in chronic obstructive pulmonary disease. Journal of Clinical Investigation. 125(6). 2458–2462. 59 indexed citations
8.
Jang, Su Chul, Oh Youn Kim, Chang Min Yoon, et al.. (2014). Correction to Bioinspired Exosome-Mimetic Nanovesicles for Targeted Delivery of Chemotherapeutics to Malignant Tumors. ACS Nano. 8(1). 1073–1073. 11 indexed citations
9.
Yoon, Yae Jin, Dae‐Kyum Kim, Chang Min Yoon, et al.. (2014). Egr-1 Activation by Cancer-Derived Extracellular Vesicles Promotes Endothelial Cell Migration via ERK1/2 and JNK Signaling Pathways. PLoS ONE. 9(12). e115170–e115170. 42 indexed citations
10.
Jang, Su Chul, Oh Youn Kim, Chang Min Yoon, et al.. (2013). Bioinspired Exosome-Mimetic Nanovesicles for Targeted Delivery of Chemotherapeutics to Malignant Tumors. ACS Nano. 7(9). 7698–7710. 840 indexed citations breakdown →
11.
Park, Kyong‐Su, Kyoung Ho Choi, You-Sun Kim, et al.. (2010). Outer Membrane Vesicles Derived from Escherichia coli Induce Systemic Inflammatory Response Syndrome. PLoS ONE. 5(6). e11334–e11334. 151 indexed citations
12.
Moon, Hyung‐Geun, You-Sun Kim, Jun‐Pyo Choi, et al.. (2010). Aspirin attenuates the anti-inflammatory effects of theophylline via inhibition of cAMP production in mice with non-eosinophilic asthma. Experimental & Molecular Medicine. 42(1). 47–47. 10 indexed citations
13.
Yoon, Chang Min, Bok Sil Hong, Hyung Geun Moon, et al.. (2008). Sphingosine-1-phosphate promotes lymphangiogenesis by stimulating S1P1/Gi/PLC/Ca2+ signaling pathways. Blood. 112(4). 1129–1138. 105 indexed citations
14.
Han, Kyu Yeon, Bok Sil Hong, Yae Jin Yoon, et al.. (2007). Polyphosphate blocks tumour metastasis via anti-angiogenic activity. Biochemical Journal. 406(1). 49–55. 45 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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